Making prognostications about the year ahead has always been risky business, but predictions about the future have become a great deal more suspect following the failure of such guessing in 2016/17. The failures are particularly notable given that they occurred in this new idealized era of Big Data, algorithms and burgeoning artificial intelligence (AI). This prompts a fallback to a more intuitive approach to the dismal effort. Since most decisions are made first on an emotional basis with the facts then later found to support it, consider this a first phase based on observation and hope. Infrastructure: Following enactment of tax reform, the next big ticket item on the U.S. policy agenda should be an infrastructure investment package. The...
A pika (/ˈpaɪkə, ˈpiːkə/ PY-kə, PEE-kə[3][4]) is a small, mountain-dwelling mammal native to Asia and North America. With short limbs, a very round body, an even coat of fur, and no external tail, they resemble their close relative the rabbit, but with short, rounded ears.[5] The large-eared pi...
Lobelia (/loʊˈbiːliə, lə-/[4][5][6]) is a genus of flowering plants in the family Campanulaceae comprising 415 species,[7] with a subcosmopolitan distribution primarily in tropical to warm temperate regions of the world, a few species extending into cooler temperate regions.[8] They are known g...
Text. More random text. Lots and lots of text. Just to fill out the article. Lore ipsum or whatever the hell it is. Lore ipsum or whatever the hell it is. Lore ipsum or whatever the hell it is. Lore ipsum or whatever the hell it is. Lore ipsum or whatever the hell it is. Lore ipsum or whatever...
From WPI Consulting
Forecasting developments in production agriculture
On behalf of a private U.S. agricultural technology provider, WPI’s team generated an econometric model to forecast the movement of concentrated corn production north and west from the traditional U.S. Corn Belt. WPI’s model has subsequently provided quantitative support to a multi-million-dollar investment into short-season corn variety development. WPI’s methodology included a series of interviews with regional grain elevators and seed consultants. Emphasizing outreach and communication with stakeholders who possess intimate sectoral knowledge – on-the-ground insights – is a regular component of WPI’s methodologies, made possible by WPI’s ever-growing network of industry contacts.